Manual data collection and complex analysis tasks, like production scheduling or customer behavior analysis, are labor-intensive and prone to errors. Machine learning can automate these tasks, efficiently process data, and identify patterns unnoticed by humans. This leads to greater accuracy, deeper insights, and faster data-driven decisions.
This Technical Paper is brought to you by Aicomp.


Machinery & Automation
Material Week Tokyo 2026 live: Berndorf taps film demand across Asia with steel belts
Berndorf Band Group, a global machinery company for flexible films, is showcasing steel belts and casting and drying systems for films and foils used in packaging at the Highly-Functional Material Week Tokyo 2026 (September 30 –...

Machinery & Automation
SIG boosts aseptic filling capacity with compact Neo machines
SIG has developed two new filling machines for aseptic cartons as part of its SIG Neo platform. SIG Neo XSlim 32 Aseptic is suitable for single-serve cartons and SIG Neo Midi 15 Aseptic for multi-serve offerings. The company says...

Machinery & Automation
HiFlow launches AI-powered ERP to automate packaging converter workflows
HiFlow Solutions has launched its AI-powered Enterprise Resource Planning (ERP) system and six AI-enabled workflow platforms that aim to simplify repetitive administrative work for label and packaging converters. The packaging...
Related multimedia
Subscribe to our newsletters
By continuing to browse our site you agree to our Privacy Statement














